Digital image splicing using edges

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Abstract

In this paper we splice together an image which has been split up on a piece of paper by using duplication detection. The nearest pieces are connected using edge searching and matching. For the pieces that have graphics or textures, we seek the matching pieces using the edge shape and intersection between the two near pieces. Thus, the initial step is to mark the direction of each piece and put the pieces that have straight edges to the initial position to determine the profile of the whole image. The other pieces are then fixed into the corresponding position by using the edge information (shape, residual trace and matching) after duplication or sub-duplication detection. In the following steps, the patches with different edge shapes are searched using edge duplication detection. With the reduction of rest pieces, the montage procedure will become easier and faster. © 2009 Springer-Verlag Berlin Heidelberg.

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APA

Lau, R., Weir, J., & Yan, W. (2009). Digital image splicing using edges. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5879 LNCS, pp. 697–707). https://doi.org/10.1007/978-3-642-10467-1_61

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